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- W4319660085 abstract "Cyber hierarchy and interactional network (CHAIN) concept control of autonomous plug-in hybrid electric vehicles is presented to fully release the potential of the vehicle components while guaranteeing the driving safety and stability, which was divided into cyber intelligent driving system (cyber-IDS) on the cyber-end and vehicle intelligent driving system (vehicle-IDS) on the vehicle-end. On the cyber-end, the state information of surrounding vehicles and infrastructures about traffic conditions are uploaded via vehicle-to-everything (V2X) and processed in the cloud to obtain future driving behavior via car following theory, achieving automatic following control. On the vehicle-end, the vehicle-IDS determines the set of its future control variables, and simultaneously provides an optimized control sequence in the prediction horizon by performing approximate global optimization instead of local optimization. The system global optimization needs the high coupling between the macro physical process(cyber-IDS) and the micro physical process(vehicle-IDS), and only the macro planning cannot be directly applied to the micro process control. The nonlinear system at the vehicle-end is decomposed into linear systems around each working point, and the dynamic characteristics between nodes are connected by neural network based on radial basis function of heterogeneous distribution coefficients. By introducing the genetic algorithm for time series, the CHAIN autonomous driving strategy capable of macro and micro coupling can realize the accurate optimal control under the actual driving conditions, which not only eliminates random fluctuations, but also enables a full-lifespan fuel saving of autonomous hybrid vehicles as well as no damage to battery health." @default.
- W4319660085 created "2023-02-10" @default.
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- W4319660085 date "2023-06-01" @default.
- W4319660085 modified "2023-10-13" @default.
- W4319660085 title "Multi-physical cooperative control of plug-in hybrid electric vehicles via cyber hierarchy and interactional network" @default.
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- W4319660085 doi "https://doi.org/10.1016/j.cnsns.2023.107158" @default.
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